*** READ ME***Policy Feedback, Energy Equity, and Climate Justice: Can Existing Policies Improve Solar Access for Low- and Moderate-Income Communities in the U.S.?PS: Political Science & PoliticsAparajita Datta, University of Houston, USAadatta3@central.uh.eduCode_SolarLMI.RThe R file with the code to replicate results and figures.
For the R code include maxLik, AER, foreign, ggplot2, MASS, gmodels, Hmisc, ordinal, reshape, stats, ggplot2, KMsurv, nlme, simPH, survival, car, flexsurv, readxl, plyr, stargazer, plm. 

Code_Robustness checks_Solar LMI
The Stata file for the robustness checks in the Supplementary Material in Table S4. 
Note: For Table S4, the model has more covariates than the number of individuals in the dataset. Hence, R cannot estimate the Swamy-Arora(SA)m model but works for the walhus (included in code), ameliya, and nerlove estimators. The SA model can be estimated using the Stata code. Include outreg2 if not installed. SolarLMI.xlsx and SolarLMI.dtaThe Excel and Stata versions of the dataset. Codebook.pdf The codebook with variable names as they appear in the dataset and paper, and related descriptions. Figures 1, 2, and 3The tiff files for the figures in the paper. 


 